Evidence map›Paper›PMID 29063512›Full record

ArticleJournal of neurovirology2018

Brain-specific HIV Nef identified in multiple patients with neurological disease.

Susanna L Lamers, Gary B Fogel, Enoch S Liu, Andrew E Barbier, Christopher W Rodriguez, Elyse J Singer, David J Nolan, Rebecca Rose, Michael S McGrath

Open access · greenAbstract read
In one paragraph

Article in Journal of neurovirology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Neuro-HIV-New insights into pathogenesis and emerging therapeutic targets.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  3. HIV-1 subtypes maintain distinctive physicochemical signatures in Nef domains associated with immunoregulation.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023
    Article
  4. Article
  5. Review
  6. Emerging Role of Nef in the Development of HIV Associated Neurological Disorders.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2021
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Susanna L LamersBioinfoexperts LLC, Thibodaux, LA, 70301, USA. susanna@bioinfox.com.
Gary B FogelNatural Selection, Inc, San Diego, CA, USA.
Enoch S LiuNatural Selection, Inc, San Diego, CA, USA.
Andrew E BarbierBioinfoexperts LLC, Thibodaux, LA, 70301, USA.
Christopher W RodriguezBioinfoexperts LLC, Thibodaux, LA, 70301, USA.
Elyse J SingerThe University of California, Los Angeles, CA, USA.
David J NolanBioinfoexperts LLC, Thibodaux, LA, 70301, USA.
Rebecca RoseBioinfoexperts LLC, Thibodaux, LA, 70301, USA.
Michael S McGrathThe University of California, San Francisco, CA, USA.
Natural Selection (United States) · USUniversity of California, Los Angeles · USUniversity of California, San Francisco · US

Funding

AIDS and Cancer Specimen Resource (ACSR)UM1CA181255 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jeffrey Michael Bethony, Anna Coghill · 2013 to 2026
$56.7M
NATIONAL NEUROLOGICAL AIDS BANKU24MH100929 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SINGER, ELYSE J · 2013 to 2023
$12.5M
Molecular Features of and Approach to the HIV CNS Reservoir Post cARTR01MH100984 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCGRATH, MICHAEL SHANNON · 2013 to 2017
$1.9M
NCI NIH HHS UM1 CA181255NIMH NIH HHS R01 MH100984NIMH NIH HHS U24 MH100929
6 · The paper itself

Abstract

HIV-1 Nef is a flexible, multifunctional protein with several cellular targets that is required for pathogenicity of the virus. This protein maintains a high degree of genetic variation among intra- and inter-host isolates. HIV Nef is relevant to HIV-associated neurological diseases (HAND) in patients treated with combined antiretroviral therapy because of the protein's role in promoting survival and migration of infected brain macrophages. In this study, we analyzed 2020 HIV Nef sequences derived from 22 different tissues and 31 subjects using a novel computational approach. This approach combines statistical regression and evolved neural networks (ENNs) to classify brain sequences based on the physical and chemical characteristics of functional Nef domains. Based on training, testing, and validation data, the method successfully classified brain Nef sequences at 84.5% and provided informative features for further examination. These included physicochemical features associated with the Src-homology-3 binding domain, the Nef loop (including the AP-2 Binding region), and a cytokine-binding domain. Non-brain sequences from patients with HIV-associated neurological disease were frequently classified as brain, suggesting that the approach could indicate neurological risk using blood-derived virus or for the development of biomarkers for use in assay systems aimed at drug efficacy studies for the treatment of HIV-associated neurological diseases.

Indexed as

AIDS Dementia ComplexAmino Acid SequenceAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveAutopsyBinding SitesBrainGene ExpressionHIV-1Host-Pathogen InteractionsHumansLymphoid TissueMacrophagesModels, Molecularnef Gene Products, Human Immunodeficiency VirusNeural Networks, ComputerAnti-HIV Agentsnef Gene Products, Human Immunodeficiency VirusAnalytical classification toolsBrainHIVMacrophagesNef proteinNeurological disease

Identifiers

PMID29063512
PMCPMC5792318
OpenAlexW2765182121

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.